Sensor Array Chip
Sensor Array Chip - Related Videos
05:21
Surface Plasmon Resonance to Study Biomolecular Interactions Using a Sensor Chip
0 Views •
2025
This video describes the surface plasmon resonance, or SPR, technique for studying the interaction between two molecules using a sensor chip. The change in resonance angle and the intensity of the reflected light are detected as a function of the association and dissociation of two molecules, and this provides information about the interactions between the two molecules.
18:11
Microfluidic Chips Controlled with Elastomeric Microvalve Arrays
0 Views •
Cited by 7 •
2007
We demonstrate protocols for manufacturing and automating elastomeric polydimethylsiloxane (PDMS)-based microvalve arrays that need no extra energy to close and feature photolithographically defined precise volumes. A parallel subnanoliter-volume mixer and an integrated microfluidic perfusion system are presented.
09:30
Bacterial Detection & Identification Using Electrochemical Sensors
0 Views •
Cited by 6 •
2013
We describe an electrochemical sensor assay method for rapid bacterial detection and identification. The assay involves a sensor array functionalized with DNA oligonucleotide capture probes for ribosomal RNA (rRNA) species-specific sequences. Sandwich hybridization of target rRNA with the capture probe and a horseradish peroxidase-linked DNA oligonucleotide detector probe produces a measurable amperometric current.
11:23
Lensless Fluorescent Microscopy on a Chip
0 Views •
Cited by 8 •
2011
A lensless on-chip fluorescent microscopy platform is demonstrated that can image fluorescent objects over an ultra-wide field-of-view of e.g., >0.6-8 cm2 with <4μm resolution using a compressive sampling based decoding algorithm. Such a compact and wide-field fluorescent on-chip imaging modality could be valuable for high-throughput cytometry, rare-cell research and microarray-analysis.
11:04
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
0 Views •
Cited by 2 •
2011
Quantitative, high-throughput, real-time, and label-free biomolecular detection (DNA, protein, etc.) on SiO2 surfaces can be achieved using a simple interferometric technique which relies on LED illumination, minimal optical components, and a camera. The Interferometric Reflectance Imaging Sensor (IRIS) is inexpensive, simple to use, and amenable to microarray formats.
FAQs
Signal transduction converts a target interaction or property change into a measurable output. On a Sensor Array Chip, each sensing element can register an electrical, optical, or mechanical change, while the complete array collects multiple signals in parallel. This arrangement supports simultaneous assessment of several targets or experimental conditions within one measurement platform.
The relevant sensing event may be molecular binding or another change in a measured physical property. Molecular binding is therefore not the only usable input; electrical, optical, and mechanical changes can also provide the readout. This flexibility allows the same chip concept to address different chemical, physical, or biological measurements, depending on the sensing elements incorporated.
Compared with a single-sensor format, an array can examine many targets or conditions in parallel on one miniaturized platform. That multiplexing is important when an assay must gather several signals from a limited sample or compare conditions efficiently. The result is a compact measurement architecture that can support faster analysis without requiring a separate device for every target.
Miniaturization reduces the physical scale of the measurement platform, while potential automation can support organized, parallel analysis. Together with multiplexing, these features can reduce sample requirements, accelerate analysis, and support high-throughput operation. They also make Sensor Array Chips relevant to portable technologies, where compact form and rapid analysis are valuable.
In a bioengineering assay, the chip is selected or configured with sensing elements suited to the chemical, physical, or biological signals of interest. A sample or experimental condition is assessed through target interactions or property changes, and the array’s parallel signals are measured together. This workflow connects chip design to outputs such as biomarker or pathogen detection.
Relevant applications include biomarker detection, pathogen identification, cell monitoring, and rapid diagnostic assays. These uses rely on converting biological interactions or associated property changes into measurable signals across multiple sensing elements. The platform is especially useful when researchers need parallel information from several targets or conditions rather than a single biological measurement.
Portable biomedical technologies benefit from the chip’s compact format and capacity to analyze multiple signals in parallel. When combined with potential automation, this design can support rapid assays while using smaller sample quantities. The approach supports biomedical tools designed for portability and speed, while retaining the multiplexing needed for broader measurement tasks in appropriate settings.